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color_detection-and-Ellipse
- 非常好的资料，基于局部特征点的跟踪，颜色分割 椭圆检测-Very good information, based on the tracking of local feature points, color segmentation, ellipse detection
xunji
- 圆形轨迹循迹，在圆上取若干航迹点，小车将沿着轨迹点行走，仿真效果不错-Circular trajectory tracking, take a number of points on the circular track, the car will travel along the track point, the simulation results are good
A-straight-line-detection-method-based-on-chain-c
- Straight line detection is still a challenging task in image processing. Though many methods have been put forward before, most of them have some limitations. In this paper, we propose a novel method for straight line detection based on chain cod
MeanShift
- MeanShift算法是一种无参概率密度估计法，算法利用像素特征点概率密度函数的梯度推导而得， MeanShift算法通过迭代运算收敛于概率密度函数的局部最大值，实现目标定位和跟踪，也能对可变形状目标实时跟踪，对目标的变形，旋转等运动也有较强的鲁棒性。MeanShift算法是一种自动迭代跟踪算法，由 MeanShift补偿向量不断沿着密度函数的梯度方向移动。在一定条件下，MeanShift算法能收敛到局部最优点，从而实现对运动体准确地定位。-MeanShift algorithm is a no
commandeMPPTavecrapportcycliver
- Wind energy conversion systems have been attracting wide attention as a renewable energy source due to depleting fossil fuel reserves and environmental concerns as a direct consequence of using fossil fuel and nuclear energy sources. In this project,
LK算法
- 利用openCV，首先利用goodFeaturesToTrack函数得到图像中的强边界作为跟踪的特征点，接下来要调用calcOpticalFlowPyrLK函数，输入两幅连续的图像，并在第一幅图像里选择一组特征点，输出为这组点在下一幅图像中的位置。再把得到的跟踪结果过滤一下，去掉不好的特征点。再把特征点的跟踪路径标示出来。(Using openCV, we use goodFeaturesToTrack function to get strong edges in the image as t
光流法运动估计OpticalFlow
- 利用openCV，首先得到图像中的强边界作为跟踪的特征点，调用函数，输入两幅连续的图像，并在第一幅图像里选择一组特征点，输出为这组点在下一幅图像中的位置。再把结果过滤，去掉不好的特征点。把特征点的跟踪路径标示出来。(Using openCV, we use goodFeaturesToTrack function to get strong edges in the image as the feature point tracking, next to call calcOpticalFlow
www
- Shop7z mall system support computer version + mobile phone + WeChat +App version of the public data, a one-stop service system of many talents, super beautiful atmosphere + mobile phone version and the APP+ page commodity package + Flash sale seckill
1
- 在许多工业应用场合，安置传感器测量系统的输出是不可能或非常昂贵的。此外，物体的运动仅能在一些离散点被检测到。在这些系统中，控制目标通常不是跟踪正确的轨迹，而是在传感器的位置获得给定的状态，在这篇论文中，引入RL学习策略来控制湿式离合器，以实现快速的接合。(In many industrial applications, it is impossible or very expensive to place sensor measurement system output. In addition
Shop7z_qjbv
- Super beautiful atmosphere page version of the mobile phone number of public pay + + (scan code payment) APP+ commodity package + Flash sale seckill + picture bulk upload + Taobao + data package into pop-up menu + classification of different specific
cmonoFTSSG_2.0
- 通过orb角点检测和lk光流追踪法，对特征点进行追踪，并叠加物体(Through orb corner detection and LK optical flow tracking method, the feature points are tracked, and the objects are superimposed)
代码
- 可以实现室内定位跟踪，采集采样点的RSS为指纹库，计算观测点的RSS与指纹库匹配，从而确定观测点的位置，选取的采样点比较少，可以实现简单的定位。(Indoor location and tracking can be achieved. The RSS of the sampling point is taken as the fingerprint library, and the matching between RSS and fingerprint Library of the obse
【10】点追踪
- 实现视频中标记点的追踪，有标记的点确定一个物体的位置(Tracking markup points in video,A marked point determines the position of an object)
PanoramaMaker-master
- 在机器视觉应用领域里特征检测和匹配是一个很重要的算法，比如图像配准、跟踪和目标检测。这个例子里，我们用基于特征的方法完成图像拼接。处理的方法是先用图像配准特征点。不同于单图像对配准，这里是多图像对的配准完成图像拼接。(In the field of machine vision application, feature detection and matching is a very important algorithm, such as image registration, trackin
ArcSoftFace
- 虹软ArcFace离线人脸识别SDK为了帮助中小企业打破技术壁垒,开放提供免费的人脸检测、人脸比对、人脸跟踪、性别检测、年龄识别以及关键点等功能的SDK。(In order to help small and medium-sized enterprises break the technical barriers, Hongsoft ArcFace Offline Face Recognition SDK provides free SDK functions such as face det
zuizhong
- 对UKF进行改进，采用最小偏度采样减少采样点数量，并结合实际状态方程和测量方程直接进行线性运算。改进后的UKF对蛇形机动目标的跟踪效果明显优于EKF(the mini-skewness sampling is adopted to reduce the number of sampling points, and the linear operation is carried out directly combining with the actual state equation and me
自主驾驶车辆的路径规划与轨迹跟踪控制.rar
- 为减少道路突发事故，提高车辆通行效率，需要研究车辆的紧急避障以实现自主驾驶。 基于车辆点质量模型，设计了非线性模型预测控制( MPC) 路径规划器; 基于车辆动力学模型，设计了线性时变MPC 轨迹跟踪器。(Emergency obstacle avoidance is one of the key points for autonomous driving system. A path planning controller based on non-linear model predicti